Showing 3 open source projects for "learning"

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    mapcn

    mapcn

    Beautiful map components, 100% Free, Zero config, one command setup

    ...The project includes implementations that experiment with policy encoding, action decomposition techniques, and sample efficiency analysis in classic reinforcement learning environments. By organizing action outputs into meaningful, lower-dimensional manifolds, MapCN attempts to improve both learning convergence and transfer performance when compared to unguided continuous control baselines.
    Downloads: 1 This Week
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  • 2

    SGraph

    Create charts by retrieving data from Stata on-the-fly

    SGraph is a web application that interacts with Stata for creating graphs. It is a demo application that demostrates how to exploit SWire for creating web applications that communicate with Stata. SGraph is an open source project and you can download the code from the project web site web site or try the app on-line here: http://sgraph-with-swire.sourceforge.net/ The source project is hosted in GitHub: https://github.com/lomagno/sgraph
    Downloads: 0 This Week
    Last Update:
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  • 3
    Facets

    Facets

    Visualizations for machine learning datasets

    The power of machine learning comes from its ability to learn patterns from large amounts of data. Understanding your data is critical to building a powerful machine learning system. Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive.
    Downloads: 0 This Week
    Last Update:
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